Related Experiment Video
Updated: Mar 20, 2026

08:50
Technique and Patient Selection Criteria of Right Anterior Mini-Thoracotomy for Minimal Access Aortic Valve Replacement
Published on: March 26, 2018
12.4K
Exploring the learning curve for minimally invasive sutureless aortic valve replacement
Michele Murzi1, Alfredo Giuseppe Cerillo1, Danyar Gilmanov1
1Fondazione Toscana Gabriele Monasterio, G. Pasquinucci Heart Hospital, Massa, Italy.
The Journal of Thoracic and Cardiovascular Surgery
|June 6, 2016
Summary
Right minithoracotomy aortic valve replacement with sutureless bioprosthesis is safe and effective. Cumulative sum analysis showed no significant learning curve effects, highlighting its value in monitoring surgical quality.
Area of Science:
- Cardiovascular Surgery
- Minimally Invasive Cardiac Surgery
- Transcatheter Aortic Valve Replacement
Background:
- Sutureless bioprosthesis implantation via right minithoracotomy is an alternative surgical approach.
- Assessing the learning curve and quality of care is crucial for adopting new surgical techniques.
Purpose of the Study:
- To evaluate the learning process and quality of care for right minithoracotomy aortic valve replacement using a sutureless bioprosthesis.
- To analyze the impact of cumulative institutional and individual experience on surgical outcomes.
Main Methods:
- Analysis of the first 300 consecutive patients undergoing sutureless valve implantation via right minithoracotomy.
- Learning curve assessment using sequential probability cumulative sum (CUSUM) failure analysis.
- Quality indicators included technical success and 30-day complications.
Main Results:
- Overall mortality was low (0.7%) with no significant differences between patient tertiles.
- Sutureless valve implantation success rate was high (99%).
- CUSUM analysis indicated no significant learning effect for technical success, though initial surgeon experience varied.
Conclusions:
- Right minithoracotomy sutureless aortic valve replacement can be performed safely with minimal learning curve effects.
- CUSUM analysis is a valuable tool for monitoring surgical performance and identifying areas for improvement.
- Institutional experience positively influences individual learning curves, ensuring consistent quality of care.

